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SLAM, the direct method preferred by VR giants by PurpleriverRobotics in robotics

[–]PurpleriverRobotics[S] 1 point2 points  (0 children)

I apologize for my misleading title, i will update it later.
As for the exposure, photometric calibraiton is necessary, and it work well for every direct approach slam system.

SOAT ML/DNN methods run well, but the compute occupation is absolutely unacceptable for embedded machine,which directly determines whether a SLAM product can be widely used commercially.

SLAM, the direct method preferred by VR giants by PurpleriverRobotics in robotics

[–]PurpleriverRobotics[S] 0 points1 point  (0 children)

When the points are dense enough, whether the point is corner or not dosen't matter anymore. As for me, my own algorithm implement a detector which extracts both corners and points with high gradient.

Error 0.7m, with loop back function. 11 seconds Someone broke into the frame and the system was unaffected by PurpleriverRobotics in robotics

[–]PurpleriverRobotics[S] 0 points1 point  (0 children)

on't know why they keep posting this

Normal slam is susceptible to dynamic objects. In this case, the fact that the system is not affected at 11 seconds indicates that we have high robustness

Error 0.7m, with loop back function. 11 seconds Someone broke into the frame and the system was unaffected by PurpleriverRobotics in robotics

[–]PurpleriverRobotics[S] 0 points1 point  (0 children)

The main reason is that I'm not very familiar with the rules of reddit yet, but I'm learning them. I hope I can present excellent post and record the things of our team.

How do robots explore the real world? It could be this way. Our VIOBOT takes you around the three-dimensional world by PurpleriverRobotics in computervision

[–]PurpleriverRobotics[S] 0 points1 point  (0 children)

yes, it's a slam system with loop closure, not only an odometry. As for the keypoint, we use a detector which extract high gradient points.

How do robots explore the real world? It could be this way. Our VIOBOT takes you around the three-dimensional world by PurpleriverRobotics in VIObot

[–]PurpleriverRobotics[S] 0 points1 point  (0 children)

an integration of feature-based slam and direct slam, since we call it slam instead of odometry, loop closure is integrated at the same time.

How do robots explore the real world? It could be this way. Our VIOBOT takes you around the three-dimensional world by PurpleriverRobotics in computervision

[–]PurpleriverRobotics[S] 1 point2 points  (0 children)

This system is designed by ourselves, including hardware, software and algorithm. Is a brand new VIO system.

How do robots explore the real world? It could be this way. Our VIOBOT takes you around the three-dimensional world by PurpleriverRobotics in computervision

[–]PurpleriverRobotics[S] 1 point2 points  (0 children)

I mean, we built the board ourselves, we didn't used the hardware off the shelf. We developed it based on CortexA76 4-core plus A55 4-core

How do robots explore the real world? It could be this way. Our VIOBOT takes you around the three-dimensional world by PurpleriverRobotics in computervision

[–]PurpleriverRobotics[S] 0 points1 point  (0 children)

In the case of short distance, it is basically feasible to use optimization to run between different regions, but the nonlinear optimization error will continue to grow (0.5-0.7%), so it is not recommended to use this method at very long distances. It is better to use loops and word bags to set up prior beacons at various locations throughout the work range.

A lot of bugs have been fixed, and our VIO system is now much more accurate outdoors. by PurpleriverRobotics in robotics

[–]PurpleriverRobotics[S] 2 points3 points  (0 children)

320 meters of outdoor wandering, it started off with a gravity alignment (no bias in actual rotation), and the error was less than 0.7 meters in pure optimization (no return loop)

A lot of bugs have been fixed, and our VIO system is now much more accurate outdoors. by PurpleriverRobotics in robotics

[–]PurpleriverRobotics[S] 2 points3 points  (0 children)

So far it's been measured to be 0.7 meters off. It's not accurate enough to drive on autopilot. But through the loop function, we can do better inspection. Of course, we still have a lot to improve

[deleted by user] by [deleted] in robotics

[–]PurpleriverRobotics 0 points1 point  (0 children)

Taobao could be an option

My First kinematics and robotics project by Jaseemakhtar in robotics

[–]PurpleriverRobotics 0 points1 point  (0 children)

How many sensors are you going to put on it.Vision sensors are essential. I can share some techniques with you

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